Data-driven identification of dynamical models using adaptive parameter sets (Q6561192)

scientific article; zbMATH DE number 7870655

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English	Data-driven identification of dynamical models using adaptive parameter sets	scientific article; zbMATH DE number 7870655

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Data-driven identification of dynamical models using adaptive parameter sets (English)

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24 June 2024

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Publication

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cites work

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Ergodic Theory, Dynamic Mode Decomposition, and Computation of Spectral Properties of the Koopman Operator

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Dynamic mode decomposition with control

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Isostables, isochrons, and Koopman spectrum for the action-angle representation of stable fixed point dynamics

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An Adaptive Phase-Amplitude Reduction Framework without $\mathcal{O}(\epsilon)$ Constraints on Inputs

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Optimal Control of Oscillation Timing and Entrainment Using Large Magnitude Inputs: An Adaptive Phase-Amplitude-Coordinate-Based Approach

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Analysis of input-induced oscillations using the isostable coordinate framework

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Data-driven inference of high-accuracy isostable-based dynamical models in response to external inputs

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Linearly Recurrent Autoencoder Networks for Learning Dynamics

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Q4604032

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Identifiers

zbMATH Open document ID

1548.37138

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DOI

10.1063/5.0077447

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Mathematics(1 entry)

mardi Publication:6561192